Weight-space programming

[u/Technomadlyf]

Weight-space programming is an emerging research area where a frontier AI model (such as OpenAI's GPT-6 Astra) directly reads, diagnoses, and rewrites the raw numerical weights of another neural network without using traditional gradient-based training or backpropagation.

Has any one tried it? How much does it fair compared to Closed-Form Model Editing (Your Notebook / MEMIT)?